Review Essay: Autoethnography: Answerability/Responsibility in Authoring Self and Others in the Social Sciences/Humanities
Bibliographic record
Abstract
ELLIS' methodological novel about autoethnography is an example of the increasing emergence of alternative forms of writing in the social sciences/humanities that focus on a dialogic notion of self, voice and human consciousness. Autoethnography is a genre of writing in which authors draw on their own lived experiences, connect the personal to the cultural and place the self and others within a social context (REED-DANAHAY, 1997). To understand this commitment to self-reflexive ways of knowing and writing, I draw on BAKHTIN's concept of authoring as creative answerability/responsibility (otvetsvennost) that views a self as answerable not only to the social environment, but is also answerable for the authoring of its responses. The Ethnographic I serves as a useful text to engage the issues that autoethnography raises both as genre and alternative discourses for authoring self and others. URN: urn:nbn:de:0114-fqs0602165
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.039 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".